Higher Order Spectra Analysis: A Non-Linear Signal Processing Framework

Paperback | April 20, 1993

byChrysostomos Nikias, Athina P. Petropulu

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In response to the recent growth of interest in polyspectra, this timely text provides an introduction to signal processing methods that are based on polyspectra and cumulants concepts. The emphasis of the book is placed on the presentation of signal processing tools for use in situations where the more common power spectrum estimation techniques fall short. This manual will be valuable to practicing engineers who need an introduction to polyspectra from a signal processing perspective.

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From the Publisher

In response to the recent growth of interest in polyspectra, this timely text provides an introduction to signal processing methods that are based on polyspectra and cumulants concepts. The emphasis of the book is placed on the presentation of signal processing tools for use in situations where the more common power spectr...

From the Jacket

In response to the recent growth of interest in polyspectra, this timely text provides an introduction to signal processing methods that are based on polyspectra and cumulants concepts. The emphasis of the book is placed on the presentation of signal processing tools for use in situations where the more common power spectrum estima...

Chrysostomos L. Nikias is an Associate Professor and Director of the Communications and Digital Signal Processing Center for Research and Graduate Studies, Department of Electrical and Computer Engineering, Northeastern University. His research interests lie in the areas of digital signal processing with applications, detection, and...
Format:PaperbackDimensions:528 pages, 9 × 7 × 1.4 inPublished:April 20, 1993Publisher:Pearson Education

The following ISBNs are associated with this title:

ISBN - 10:0136782108

ISBN - 13:9780136782100

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Table of Contents



 1. Definitions and Properties of Cumulants and Cumulant Spectra.


 2. Polyspectra of Deterministic Signals.


 3. Conventional Methods for the Estimation of Polyspectra.


 4. Nonminimum Phase Signal Reconstruction.


 5. Polycepstra.


 6. Parameter Estimation.


 7. Adaptive Signal Processing.


 8. Detection and Characterization of Nonlinearities.